Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Assessing the overall accuracy of the solutions obtained by the algorithms. حسب Nasiru Salihu (14803855)

Comparison of the optimal solutions between analytical model and genetic algorithm. حسب Silvia Merdikawati (20298266)

Example gauge chart outputs produced by the M.E.D.V.I.S. algorithm. حسب Hector Torres (11708207)

الموضوعات:

Selected optimal solutions from the QLNSGA-II algorithm. حسب Zhongfeng Li (3965060)

الموضوعات:

Disparities in self-presentation of user’s preferences on algorithm matching. حسب Linsha Liu (20378293)

Data and code resources. حسب Sam Hall-McMaster (10343795)

Schematic diagram of the end iterations of the genetic solution after the calculation of the greedy algorithm. حسب Zixi Wang (459102)

Schematic diagram of the end iteration of the genetic solution after the calculation of the greedy algorithm. حسب Zixi Wang (459102)

An optimal solution for the HFS instance. حسب Xiang Tian (4369285)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

ROC curve for each ML algorithm. حسب Caroline L. Alves (14271413)

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…"

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Covering solutions from running the genetic algorithm with different optimal hyperparameters. حسب Bettina Soós (10860933)

"…<i>L</i>, the true regression label of the graph is <i>L</i> = 2.882 (proportion of 4-cycles in the graph), and the prediction error on the original graph is . are the predictions on the covering and non-covering components. Each figure presents a solution of the genetic algorithm, with hyperparameters selected such that solutions are drifted in favor of some of the objectives (high fidelity, high sparsity, or both).…"

Impact of multiunit merging on neural information encoding. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

Schematic diagram of the local optimal solution. حسب Ronghua Meng (20978441)

"…<div><p>This paper presents an improved egg carrier for supporting common types of eggs during an egg slit inspection platform opeations. …"

Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" حسب Yize Wang (19535173)

"…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…"